Instructions to use na1taneja2821/diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use na1taneja2821/diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("na1taneja2821/diffusers") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| name: Run dependency tests | |
| on: | |
| pull_request: | |
| branches: | |
| - main | |
| paths: | |
| - "src/diffusers/**.py" | |
| push: | |
| branches: | |
| - main | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} | |
| cancel-in-progress: true | |
| jobs: | |
| check_dependencies: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: "3.8" | |
| - name: Install dependencies | |
| run: | | |
| python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH" | |
| python -m pip install --upgrade pip uv | |
| python -m uv pip install -e . | |
| python -m uv pip install pytest | |
| - name: Check for soft dependencies | |
| run: | | |
| python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH" | |
| pytest tests/others/test_dependencies.py | |